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ORCIDShoubhik Debnath
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2020 – today
- 2024
[c11]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CVPR 2024: 10050-10060- [i9]Zixuan Huang, Justin Johnson, Shoubhik Debnath, James M. Rehg, Chao-Yuan Wu:
PointInfinity: Resolution-Invariant Point Diffusion Models. CoRR abs/2404.03566 (2024) - 2023
- [c10]Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie:
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CVPR 2023: 16133-16142 - [i8]Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie:
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CoRR abs/2301.00808 (2023) - 2022
- [i7]Ronghang Hu, Shoubhik Debnath, Saining Xie, Xinlei Chen:
Exploring Long-Sequence Masked Autoencoders. CoRR abs/2210.07224 (2022) - 2021
- [c9]Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox:
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CVPR 2021: 4649-4658 - [c8]Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law:
Self-Supervised Real-to-Sim Scene Generation. ICCV 2021: 16024-16034 - [i6]Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox:
RGB-D Local Implicit Function for Depth Completion of Transparent Objects. CoRR abs/2104.00622 (2021) - 2020
- [c7]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. ICML 2020: 7360-7369 - [i5]Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar:
Semi-Supervised StyleGAN for Disentanglement Learning. CoRR abs/2003.03461 (2020) - [i4]Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Marc T. Law:
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning. CoRR abs/2011.14488 (2020)
2010 – 2019
- 2019
- [i3]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR abs/1901.00921 (2019) - [i2]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR abs/1901.01229 (2019) - [i1]Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR abs/1901.01977 (2019) - 2018
- [c6]Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. IROS 2018: 1-9 - [c5]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. IROS 2018: 7063-7070 - 2017
- [c4]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential Based Heuristics for Solving Markov Decision Processes. ISRR 2017: 387-404 - 2014
- [c3]Shoubhik Debnath, John Nassour, Gordon Cheng
:
Learning diverse motor patterns with a single multi-layered multi-pattern CPG for a humanoid robot. Humanoids 2014: 1016-1021 - [c2]Shoubhik Debnath, John Nassour:
Extending cortical-basal inspired reinforcement learning model with success-failure experience. ICDL-EPIROB 2014: 293-298 - [c1]Shoubhik Debnath, Shiv Sankar Baishya, Rudolph Triebel, Varun Dutt, Daniel Cremers:
Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Data. KI 2014: 68-79
Coauthor Index
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